Research Article

Hybrid Differential Evolution-Particle Swarm Optimization Algorithm for Multiobjective Urban Transit Network Design Problem with Homogeneous Buses

Table 6

Comparative results of hybrid DE-PSO for Mandl’s Swiss network.

Bus linePerformance metric123456789

4d069.94n/an/an/a80.4895.0593.7793.3895.44
d129.93n/an/an/a12.844.956.236.624.56
dun0.13n/an/an/a6.680.000.000.000.00
Co99n/an/an/a7094999592
Cp219,094n/an/an/a180,453186,368206,770199,880198,177
Tinv177,400n/an/an/a149,904161,371n/a170,632169,842
Twt18,194n/an/an/a20,54921,147n/a24,09824,125
Ttr23,500n/an/an/a10,0003,850n/a5,1504,210

6d0n/a78.6182.59n/a87.7394.3498.5296.9297.68
d1n/a21.3917.41n/a12.275.661.483.082.32
dunn/a0.000.00n/a0.000.000.000.000.00
Con/a8984n/a7599899290
Cpn/a205,656203,936n/a199,908185,224201,270191,035190,068
Tinvn/a168,076170,328n/a163,020159,059n/a162,080162,835
Twtn/a20,93020,058n/a27,33821,766n/a24,70523,103
Ttrn/a16,65013,550n/a9,5504,400n/a4,2504,130

7d0n/a80.99n/an/a90.6294.4199.6896.3497.82
d1n/a19.01n/an/a9.385.590.323.662.18
dunn/a0.00n/an/a0.000.000.000.000.00
Con/a82n/an/a7899829084
Cpn/a217,954n/an/a195,476185,406209,455188,337189,697
Tinvn/a180,350n/an/a158,100157,899n/a158,650157,800
Twtn/a22,804n/an/a30,07623,157n/a25,58727,847
Ttrn/a14,800n/an/a7,3004,350n/a4,1004,050

8d0n/a79.9687.73n/a91.9196.4098.3997.1797.56
d1n/a20.0412.27n/a8.093.601.612.832.44
dunn/a0.000.00n/a0.000.000.000.000.00
Con/a7868n/a7899779489
Cpn/a210,632204,028n/a197,516185,590206,910188,519184,841
Tinvn/a169,101168,023n/a157,950158,064n/a159,832158,503
Twtn/a25,93126,455n/a33,26624,726n/a25,48723,718
Ttrn/a15,6009,550n/a6,3002,800n/a3,2002,620

12d0n/an/an/a83.6695.5095.38n/a97.0297.56
d1n/an/an/a15.214.504.62n/a2.982.44
dunn/an/an/a1.130.000.00n/a0.000.00
Con/an/an/a878598n/a8886
Cpn/an/an/a202,254200,624187,919n/a196,774184,532
Tinvn/an/an/a167,198156,769160,452n/a167,754158,685
Twtn/an/an/a24,59140,35523,867n/a25,67022,632
Ttrn/an/an/a10,4653,5003,600n/a3,3503,215

Note: n/a = not available. 1. Mandl [42]; 2. Baaj and Mahmassani [3]; 3. Shih and Mahmassani [43] [uncoordinated]; 4. Reference [44]; 5. Nikolić and Teodorović [20] [Greedy]; 6. Nikolić and Teodorović [20] [BCO]; 7. Zhao et al. [21]; 8. Buba and Lee [23]; 9. Proposed DE-PSO.